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. 2022 Jan 28;23:85. doi: 10.1186/s12864-021-08269-8

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 6 — Mediation analysis. Our mediation analysis aims to determine if an independent variable (SNP rs5011804) affects a dependent variable (diagnosis) ‘through’ a mediator variable (QT-PAD biomarker), where age, gender and education are included as covariates. The direct effect is the path coefficient c^′. The indirect effect is the path coefficent product a×b